Metkagram · annotation method
The pattern inside the sentence.
Compact functional tags reveal the role of a word without breaking the context. Each sentence becomes a reusable pattern for learning, cross-language comparison and machine analysis.
Live annotation
I want to develop more effective study habits.
Can you help?
Have you tried spaced repetition?
01 · From sentence to pattern
Sentence → Tag → Structure → Pattern → Variation → Recall
- 01Sentence
Read one complete, meaningful sentence.
- 02Tag
Notice a compact tag beside a word or span.
- 03Structure
Connect the tag to the exact part it describes.
- 04Pattern
Identify the reusable grammatical pattern.
- 05Variation
Compare it across people, questions, negatives, tenses and contexts.
- 06Recall
Retrieve the pattern before revealing the cue.
- 07Spaced review
Return to it later through spaced review.
02 · Before and after annotation
Meaning first, tag second
I want to develop more effective study habits.
I want to develop more effective study habits.
Retrieve the pattern first, then reveal the cue.03 · A pattern across contexts
One pattern, new situations
If + Past Simple, would + V
If I had more time, I would start a side project.
Wenn ich mehr Zeit hätte, würde ich ein Nebenprojekt starten.
Questions, negatives, people and tenses change the sentence while preserving a recognisable pattern.04 · One coherent annotation system
One coherent annotation system
Metkagram combines token-level functional annotation with natural sentences, translations, formulas and systematic variation. The result is a publicly inspectable English–German library for learning and NLP analysis: word roles remain traceable, patterns can be compared across languages, and reproducible experiments can use the same structured evidence.
A publicly inspectable, machine-readable corpus with token-level functional annotation
05 · Principles behind the method
Research explains the principles; it does not promise an outcome.
A selective visual tag directs attention to one functionally relevant detail.
Inline annotation keeps form inside a meaningful sentence.
A token-level scheme stays readable for people and usable for computational analysis.
A short tag beside its word reduces switching between the sentence and a separate rule.
A complete sentence supports contextual encoding and transfer to a new situation.
Retrieving a pattern before feedback can strengthen later access to it.
Spaced return and systematic variation reveal what changes and what stays reusable.
06 · Method boundaries
Method boundaries
Annotation makes structure easier to see, but it does not replace reading, conversation, feedback, vocabulary work or regular practice.
07 · Verified sources
Verified sources
Titles, authors, dates and links separate research findings from Metkagram’s interpretation.